This kind of meta reading strategy never worked for me. My real strategy 1) be deeply curious and motivated about what you’re learning. If you cannot do that, trick yourself into caring, if that fails ask yourself why you are learning it in the first place.
There's also the classic “How to Read a Book” by Mortimer J. Adler: https://en.wikipedia.org/wiki/How_to_Read_a_Book
I like this. I have used some versions of this, and suspect the full outline is only necessary when you’re encountering a subject for which you lack prior knowledge and/or have little interest going into the text.

The text which is _easiest to read_ is the subject for which you have the greatest interest. Given this insight I imagine this as a useful tool for the reader to find their interest, or to humanize the practice and find sympathy with its practitioners.

“While reading […] Highlight, mark or underline key information mentioned in the survey.”

I do not agree with defacing a text. In my experience a text unfolds to you with multiple readings. To go the nuclear option of permanent highlighter marks is to affix on the text your naive first readings.

Marginalia is much better in because they don’t interrupt the text, but live alongside.

I believe this so much I wrote this one page PDF and share it with my friends:


Advice from Paul N. Edwards has been very helpful for me in this regard: https://pne.people.si.umich.edu/PDF/howtoread.pdf
I think this really varies by subject. If you are reading a math textbook with exercises, you can just read the chapter however you want, and do the exercises. Anything you don't understand, you'll be forced to understand by solving the problems.

Similarly, if you're reading a computer science textbook, you really need to be writing code that puts your learning into practice, or solving algorithmic problems that use the subject matter.

This advice is better when you're just trying to remember stuff that you read in a textbook, rather than gaining a deeper understanding.

Wow, this site has a lot of self-study resources. I've been sort of chicken pecking at books about learning to try to extract ideas, like stuff by Barbara Oakley, etc.

Even the Wikipedia page on "evidence-based learning" only discusses three things: spaced repetition (Anki), n-back training and some weird ambiguous behavioral thing called errorless learning.

I've also continually scoured HN and Reddit for tips.

Does anyone have any hidden knowledge to share? My current experiment is a tweak of memory palaces. I take a route in my city that I know well, that I can picture myself traversing. I then mark monuments on the path. I then mentally attach items to the path. Finally, I take a screenshot of the path and manually label each milestone with the associated piece of information.

So far I've managed to memorize 19 items related to Javascript proxies this way, after a single session.

Time to do this - a minimum of one week. Learn all the contents of a chapter over a period of one week. This includes answering the questions at the end of the chapter. If you happen to finish the contents before the end of the week, rest and start the next chapter the following week.
A strategy that actually works: read the book through, even if there are many things you do not understand. Do it again and again until you get the majority. Everything you encounter now feels familiar in a sense, and you can go in depth with the literature
"Start at the very beginning, A very good place to start."